期刊论文详细信息
Food Chemistry: Molecular Sciences
Identification of allergenomic signatures in allergic and well-tolerated apple genotypes using LC-MS/MS
Karl-Christian Bergmann1  Chen Meng2  Christina Ludwig2  Soraya Chebib3  Wilfried Schwab3  Sylvia Becker4  Werner Dierend5 
[1] Allergy-Centre-Charité, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany;Bavarian Center for Biomolecular Mass Spectrometry (BayBioMS), Technical University Munich, Gregor-Mendel-Straße 4, 85354 Freising, Germany;Biotechnology of Natural Products, Technical University Munich, Liesel-Beckmann-Str. 1, 85354 Freising, Germany;European Centre Allergy Research Foundation, Robert-Koch-Platz 7, 10115 Berlin, Germany;Faculty of Agricultural Science and Landscape Architecture, Fruit Science, University of Applied Sciences Osnabrück, Oldenburger Landstr. 24, 49090 Osnabrück, Germany;
关键词: Malus domestica;    Mal d proteins;    Proteomics;    LC-MS/MS;    Isoforms;    Apple breeding;   
DOI  :  
来源: DOAJ
【 摘 要 】

The apple fruit (Malus domestica L. Borkh) is one of the most popular fruits worldwide. Beyond their beneficial properties, apples contain proteins that trigger allergic reactions in susceptible consumers. Mal d1 to d4 are allergens present in a variety of different isoforms in apples. In this study, we used proteomics to quantify all four Mal d proteins in 52 apple genotypes with varying allergenic potentials. A total of 195, 17, 14, and 18 peptides were found to be related to Mal d1, d2, d3, and d4 proteins, respectively of which 25 different Mal d proteins could be unambiguously identified. The allergenic potential of the Mal d isoforms was characterized by comparing the isoform abundance with the allergenic score of genotypes from oral challenge tests. The detected Mal d peptides presumably have different IgE binding properties and could be used as potential molecular markers to discriminate between hypoallergenic and hyperallergenic cultivars.

【 授权许可】

Unknown   

  文献评价指标  
  下载次数:0次 浏览次数:0次